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ahmed@ppc:~$ ./aliava --case-study
[ Ecommerce ]United States

Aliava.

$1.88M in tracked revenue at 8.49x ROAS, held through a full rebrand.

$0
REVENUE TRACKED
0.00x
RETURN ON AD SPEND
$0
AD SPEND, 12 MONTHS
0
PURCHASES
[ THE SITUATION ]

Aliava is a premium women's fashion brand with an average order value near $355. The account was large and already spending, but it was moving through a full rebrand, which meant running brand search on both the old and the new name without wasting budget or losing demand.

[ WHAT I DID ]
01

Performance Max as the engine

I ran Performance Max on Target ROAS as the core, structured around real margins. It produced roughly half of all revenue at 9.91x return.

02

Product segmented Shopping

I split Shopping by collection and custom labels so the best sellers and highest margin products got the budget, holding 7.15x ROAS on that channel.

03

Brand search across the rebrand

I protected both the old and the new brand name with dedicated search, which ran at a 27 percent click through rate and 8.5x ROAS, so the rebrand never leaked demand to competitors.

04

Disciplined negative sculpting

Every week I mined the search terms report and added negatives across Performance Max and category search, cutting waste so the return held while spend stayed high.

[ THE RESULT ]

Across twelve months the account held about $1.9M in tracked revenue at 8.49x ROAS on $222K of spend, while the average order value rose to $355. Scale and return at the same time, through a rebrand.

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